Remote - Long term - Senior Data Scientist

Senior Data Scientist – Generative AI / LLM
We are looking for an experienced Senior Data Scientist – Generative AI / LLM with overall 7+ years of experience in Data Science, Machine Learning, AI, or related areas, including strong recent hands-on experience developing Generative AI and Large Language Model (LLM) solutions.
The ideal candidate will have practical experience building enterprise AI solutions using RAG, Knowledge Graphs, Graph Databases, embeddings, vector databases, NLP, and deep learning technologies, and will work closely with product, engineering, data, and business teams to deliver scalable AI capabilities.
Key Responsibilities:
• Design and develop Generative AI and LLM-based solutions for enterprise use cases.
• Build end-to-end Retrieval-Augmented Generation (RAG) solutions using LLMs, embeddings, vector databases, and enterprise data sources.
• Design and implement solutions using Knowledge Graphs and Graph Databases to represent and retrieve complex relationships between entities and data.
• Develop GraphRAG or hybrid retrieval approaches combining knowledge graphs, vector search, and LLMs where appropriate.
• Develop and optimize document ingestion, chunking, embedding, retrieval, reranking, and prompt orchestration pipelines.
• Apply NLP, machine learning, and deep learning techniques to solve business problems.
• Develop solutions using frameworks such as PyTorch and/or TensorFlow.
• Evaluate appropriate LLMs, embedding models, retrieval approaches, graph technologies, and AI techniques based on use-case requirements.
• Perform prompt engineering and optimize LLM responses for accuracy, relevance, and reliability.
• Define and implement evaluation approaches for LLM applications, including retrieval quality, response quality, hallucination, accuracy, latency, and other relevant metrics.
• Work with structured and unstructured data from multiple enterprise sources.
• Integrate AI/ML capabilities with applications, APIs, and enterprise systems.
• Apply appropriate Responsible AI, Explainable AI, privacy, security, model governance, and bias assessment practices.
• Collaborate with product, engineering, data engineering, architecture, and business teams.
• Participate in Agile development activities, including sprint planning, development, testing, and release activities.
Required Qualifications:
• 7+ years of professional experience in Data Science, Machine Learning, AI, or related areas.
• Strong recent hands-on experience with Generative AI and LLM-based applications.
• Strong programming skills in Python & NestJS.
• Strong understanding of machine learning, NLP, and deep learning concepts.
• Hands-on experience with PyTorch and/or TensorFlow.
• Experience designing and implementing RAG architectures.
• Hands-on experience with embeddings, semantic search, vector databases, and information retrieval.
• Experience with Knowledge Graphs and Graph Databases, including graph- based data modeling, storage, querying, and retrieval.
• Understanding of GraphRAG and/or hybrid retrieval approaches combining graph-based and vector-based retrieval.
• Experience working with LLM APIs and/or open-source language models.
• Experience with prompt engineering and LLM application evaluation.
• Understanding of grounding, hallucination mitigation, retrieval quality, and model performance evaluation.
• Familiarity with Responsible AI, Explainable AI, model governance, privacy, security, and bias assessment.
• Experience integrating AI/ML solutions with enterprise applications and APIs.
• Experience with Git and standard software development practices.
• Experience working in Agile product or engineering environments.
• Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
• Experience with GenAI/LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent.
• Experience with vector search technologies such as Azure AI Search, Pinecone, Weaviate, FAISS, pgvector, or equivalent.
• Experience with graph technologies such as Neo4j, Amazon Neptune, Azure Cosmos DB (graph capabilities), or equivalent graph database platforms.
• Experience developing Knowledge Graph and GraphRAG solutions for enterprise use cases.
• Experience with Azure, AWS, or GCP AI/ML services.
• Experience with Docker, Kubernetes, CI/CD, MLOps, or LLMOps.
• Experience implementing automated evaluation and monitoring for LLM applications.
• Understanding of GenAI security considerations, including sensitive-data handling, access controls, and prompt injection risks.
Core Skills
Generative AI: LLMs, RAG, GraphRAG, Prompt Engineering, LLM Evaluation
Knowledge & Retrieval: Knowledge Graphs, Graph Databases, Embeddings, Vector
Databases, Semantic Search, Hybrid Retrieval
Data Science & AI: Machine Learning, NLP, Deep Learning, PyTorch/TensorFlow
Programming: Python, NestJS, SQL
Engineering: APIs, Git, CI/CD
Cloud: Azure / AWS
Governance: Responsible AI, Explainable AI, Privacy, Model Governance, Bias Assessment
Ways of Working: Agile / Scrum
Additional Information
English: Fluent
Location: Remote
Working Time: GMT+7
Term of engagement: 12 months
Qualifications process:
Pre-qualification process with a short interview (15-20 mins).
The candidate may join 1 or 2 of the interviews from the client side.
Please DM via Zalo 0988694723 - Ms Oanh To or Oanh@talex.co to get more information and to apply directly!

Work arrangement
Yes